RB
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Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..
TM
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Excellent and detailed on how to create a convolutional neural network using TensorFlow as well as explaining how to solve problems such as low accuracy, overfitting and even improving the dataset.
By Varun K M
•Apr 27, 2020
It was a great course but there wasn't much theory into explaining why and what's happening. A course to get started with the coding without actually needing to require what is happening in the background.
By J N B P
•Jan 26, 2021
A great course for those who want to start building their AI models using Tensorflow. It explains how to use the required tools for different purposes like data augmentation, transfer learning, etc.
By Kalana A
•Apr 14, 2020
Nice course. Even though I have previously done some projects using CNN and multi-class classification still this course let me to have an insight to how these APIs work. Keep Up The Good Work!!!!!!
By Fahmi J
•Apr 29, 2020
This course awesome, but the notebook from coursera "i think" doesn't support any experiment we want, so we have to do it on google colab. But great, limitation is okay as long it's still graded
By XX N
•Oct 2, 2019
The course is really nice. But would be better if the convolutional layers were a bit more detailed. It was a bit difficult for me to understand all the parameters e.g: input/output filter size.
By Luis A B
•Sep 29, 2019
The course was fine sometimes I feel too easy. I would like to see more of the available options for the layers, such as padding, stride. filter size, mean average, batch normalization, etc...
By nick b
•Aug 17, 2021
Good one for understanding convulutional networks. But the last assignment is not good. No explanation and you need to change the code provided to finish it. What they say you should not do.
By C A
•Dec 23, 2020
Assignments are good, but it should concentrate more on the actual problem rather than the file reading or any nitty gritty details without any hint. Thanks , this course is good in overall.
By Rajesh R
•Jun 14, 2020
Great course to learn newer aspects of TF. For me a great revision of ConvNets and a confidence builder. If there's one thing I'd fix, it would be the autograder and how often it crashes.
By Amit G
•Jun 24, 2021
I liked this course, and also the way progression is taking place but the time required to complete this course needs to be reevaluated. This course can be finished in 8-10 hours easily.
By Dr. A K D
•Sep 24, 2020
Found the hands-on not very interesting. Couple of them focussed on file handling and stuff rather than on more important stuff that getting into the hoods of transfer learning, etc.
By Rakesh G
•Jan 16, 2020
I think this was a good course but the standard of exercises and quizzes was too easy. More conceptual questions especially in quizzes would help in understanding the topic better
By ashish s
•Apr 22, 2020
Overall good. Could have gone in bit more depth on how various hyper parameter tuning and regularization methods impact the model training. Provide some best practices tips .
By Gerardo S
•Sep 26, 2019
the last exercise needed a big upload, made it imposible (for me) to do. This was a problem not related to the subject, should use data downloadable directly from internet.
By Sokratis A
•Mar 30, 2021
Most of the Programming Assignments are a copy-paste routine from colab notebooks provided
the last one was pretty challenging though ^_^
(Im experienced in Programming)
By Eric L
•Dec 10, 2020
This course only requires few hours of work and I would like to see more depth. The parts on image augmentation and transfer learning were pretty interesting though!
By Luciano C
•Dec 31, 2020
Curso muito legal, a única coisa que ficou um pouco abaixo do esperado foi o último exercício da quarta semana, não foi construído com o cuidado visto nos outros.
By Vishwanadha K V
•Jun 22, 2020
The assignments are not challenging enough. The concepts are really well explained and for someone with no background in this area, this is a great learning asset
By Dimitry I
•Aug 10, 2019
Very good course that teaches you basics of convolutions, augmentation, transfer learning. Thank you to Mr. Moroney and the Coursera team for making it available.
By vaibhav t
•Jun 26, 2020
The course was good. The only problem was the last assignment where some of the functions went missing. It was difficult for a beginner to catch such glitch
By chaitanya m
•Apr 15, 2020
The best course to do. Especially after the specialization course from Andrew. It is really helpful to code all the concepts you learned from Andrew course.
By Ujjwal G
•Nov 16, 2019
I think most much of the course conent was same as the first course, this course could have been a little more advanced. But overall a great place to start.
By Moritz R
•Jan 24, 2021
Very nice the step from the first course was really nice. The achievements were harder to reach an all over the cose was less buggy than the first one. :)
By Shubham G
•Jan 29, 2022
Last coding assignment was not clear. Eg- Why is there a model.evaluate line at the end when we are already checking validation accuracy in fit generator
By Estefania T
•Jun 2, 2020
The contents are a bit light from my point of view. I get it is to be accessible for more people but math and explanations are in some cases important